Akshay Balsubramani

According to our database, Akshay Balsubramani authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Entropy, concentration, and learning: a statistical mechanics primer.

Akshay Balsubramani

CoRR, 2024

2022

Accelerating <i>in silico</i> saturation mutagenesis using compressed sensing.

Jacob M. Schreiber, Surag Nair, Akshay Balsubramani, Anshul Kundaje

Bioinform., 2022

2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

CoRR, 2020

Sharp finite-sample large deviation bounds for independent variables.

Akshay Balsubramani

CoRR, 2020

Learning transport cost from subset correspondence.

Ruishan Liu, Akshay Balsubramani, James Zou

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

An adaptive nearest neighbor rule for classification.

Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.

Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Linking Generative Adversarial Learning and Binary Classification.

Akshay Balsubramani

CoRR, 2017

Optimal Binary Autoencoding with Pairwise Correlations.

Akshay Balsubramani

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Playing Games to Reduce Supervision in Learning.

Akshay Balsubramani

PhD thesis, 2016

Muffled Semi-Supervised Learning.

Akshay Balsubramani, Yoav Freund

CoRR, 2016

Learning to Abstain from Binary Prediction.

Akshay Balsubramani

CoRR, 2016

Sequential Nonparametric Testing with the Law of the Iterated Logarithm.

Akshay Balsubramani, Aaditya Ramdas

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Optimal Binary Classifier Aggregation for General Losses.

Akshay Balsubramani, Yoav Freund

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Instance-dependent Regret Bounds for Dueling Bandits.

Akshay Balsubramani, Zohar S. Karnin, Robert E. Schapire, Masrour Zoghi

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Minimax Binary Classifier Aggregation with General Losses.

Akshay Balsubramani, Yoav Freund

CoRR, 2015

Scalable Semi-Supervised Classifier Aggregation.

Akshay Balsubramani, Yoav Freund

CoRR, 2015

PAC-Bayes with Minimax for Confidence-Rated Transduction.

Akshay Balsubramani, Yoav Freund

CoRR, 2015

The Utility of Abstaining in Binary Classification.

Akshay Balsubramani

CoRR, 2015

PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures.

Akshay Balsubramani

CoRR, 2015

Scalable Semi-Supervised Aggregation of Classifiers.

Akshay Balsubramani, Yoav Freund

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimally Combining Classifiers Using Unlabeled Data.

Akshay Balsubramani, Yoav Freund

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Sharp Uniform Martingale Concentration Bounds.

Akshay Balsubramani

CoRR, 2014

2013

The Fast Convergence of Incremental PCA.

Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013